Daniel Grun
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
-
- Cancer Cells and Metastasis
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Epigenetics and DNA Methylation 3
- Genomics, phytochemicals, and oxidative stress 2
- Genomics and Chromatin Dynamics 2
- Oncology 7
- Cancer Cells and Metastasis 4
- Co-authors
- Gautam Adhikary (14 shared papers)Richard L. Eckert (14 shared papers)Matthew Fisher (7 shared papers)Wen Xu (6 shared papers)Candace L. Kerr (5 shared papers)Jeffrey W. Keillor (2 shared papers)Sivaprakasam Balasubramanian (2 shared papers)David M. Kaetzel (1 shared paper)
- Journals
- Molecular Carcinogenesis (4 papers)Oncotarget (3 papers)Carcinogenesis (2 papers)Oncogene (2 papers)Annals of Oncology (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniel Grun
16 papers receiving 642 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 149
- Oncology 182
- Molecular Biology 385
- Pulmonary and Respiratory Medicine 154
- Cancer Research 62
Countries citing papers authored by Daniel Grun
This map shows the geographic impact of Daniel Grun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Grun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Grun more than expected).
Fields of papers citing papers by Daniel Grun
This network shows the impact of papers produced by Daniel Grun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Grun. The network helps show where Daniel Grun may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Grun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2016 | 66 | |
| 3 | 2017 | 66 | |
| 4 | 2016 | 65 | |
| 5 | 2015 | 53 | |
| 6 | 2015 | 51 | |
| 7 | 2013 | 50 | |
| 8 | 2018 | 36 | |
| 9 | 2017 | 34 | |
| 10 | 2017 | 34 | |
| 11 | 2016 | 32 | |
| 12 | 2018 | 32 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2013 | 8 | |
| 16 | 2024 | 1 | |
| 17 | 2008 | 0 |
About Daniel Grun
Daniel Grun is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 17 papers that have together received 645 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Cancer Cells and Metastasis (4 papers), Blood properties and coagulation (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Cell Biology (149 citations), Oncology (182 citations), Molecular Biology (385 citations), Pulmonary and Respiratory Medicine (154 citations) and Cancer Research (62 citations). Daniel Grun has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Gautam Adhikary, Richard L. Eckert, Matthew Fisher, Wen Xu, Candace L. Kerr, Jeffrey W. Keillor, Sivaprakasam Balasubramanian, David M. Kaetzel, Jennifer M. Huang and Joseph S. Friedberg. Their work appears in journals such as Molecular Carcinogenesis, Oncotarget, Carcinogenesis, Oncogene and Annals of Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.